Biology subjects

Lim, N.

Publications and source records attributed to Lim, N..

6 recordsLinked to original sources

bioRxiv2023

Distinct and interdependent functions of three RING proteins regulate recombination during mammalian meiosis

During meiosis, each pair of homologous chromosomes becomes connected by at least one crossover, as required for accurate segregation at the first division, and adjacent crossovers are widely separated thereby limiting total numbers. In coarsening models, crossover patterning results from nascent recombination sites competing to accrue a limiting pro-crossover RING-domain protein (COR) that diffuses between synapsed chromosomes. Here we delineate the localization dynamics of three mammalian CORs in mouse and determine their interdependencies. RNF212, HEI10 and a new member RNF212B show divergent spatiotemporal dynamics along synapsed chromosomes, including profound differences in spermatocytes and oocytes, that are not easily reconciled by elementary coarsening models. Contrasting mutant phenotypes and genetic requirements indicate that RNF212B, RNF212, and HEI10 play distinct but interdependent functions in regulating meiotic recombination and coordinating the events of meiotic prophase-I by integrating signals from DNA breaks, homolog synapsis, the cell-cycle, and incipient crossover sites. SIGNIFICANCEMeiosis produces haploid gametes by precisely halving the chromosome complement. Crossing over between homologous chromosomes (homologs) is essential for their accurate segregation and defects are associated with infertility, miscarriage, and congenital disease. Factors that ensure crossing over between each pair of homologs include mammalian RING-domain proteins RNF212, HEI10, and RNF212B, alleles of which are linked to infertility and heritable variation in crossover rate. This study focuses on understanding the functions and relationships between pro-crossover RING proteins (CORs) in mouse, providing important insights into their roles in regulating recombination, the DNA repair process that gives rise to crossovers. Notably, chromosomal localization dynamics of the three CORs are distinct and show striking sexual dimorphism with important implications for models of crossover control.

genetics↗

bioRxiv2023

Gonadal androgens are associated with decreased type I interferon production by pDCs and increased IgG titres to BNT162b2 following co-vaccination with live attenuated influenza vaccine in adolescents

mRNA vaccine technologies introduced following the SARS-CoV-2 pandemic have highlighted the need to better understand the interaction of adjuvants and the early innate immune response. Interferon type I (IFN-I) is an integral part of this early innate response and can prime several components of the adaptive immune response. Females are widely reported to respond better than males to seasonal tri- and quad-valent influenza vaccines. Plasmacytoid dendritic cells (pDCs) are the primary cell type responsible for IFN-I production and female pDCs produce more IFN-I than male pDCs since the upstream receptor TLR7 is encoded by the X-chromosome and is biallelically expressed by up to 30% of female immune cells. Additionally, the TLR7 promoter contains putative androgen response elements and androgens have been reported to suppress pDC IFN-I in-vitro. Unexpectedly, therefore, we recently observed that male adolescents mount stronger antibody responses to the Pfizer BNT162b2 mRNA vaccine than female adolescents after controlling for natural SARS-CoV-2 infection. We here examined pDC behaviour in this cohort to determine the impact of IFN-I on anti-Spike and anti-receptor-binding domain titres to BNT162b2. Through LASSO modelling we determined that serum free testosterone was associated with reduced pDC IFN-I but, contrary to the well-described immunosuppressive role for androgens, the more potent androgen dihydrotestosterone was associated with increased IgG titres to BNT162b2. Also unexpectedly, we observed that co-vaccination with live-attenuated influenza vaccine boosted the magnitude of IgG responses to BNT162b2. Together these data support a model where systemic IFN-I increased vaccine-mediated immune responses, but for vaccines with intracellular stages, modulation of the local IFN-I response may alter antigen longevity and consequently vaccine-driven immunity. Author SummaryType I interferons (IFN-I) are potent antiviral proteins which play a central role in activating the immune response and driving inflammation. IFN-I is predominantly produced by plasmacytoid dendritic cells (pDCs) and female pDCs produce more IFN-I than male pDCs. Consequently, females typically generate stronger antibody responses to vaccines such as seasonal influenza vaccines. In addition, females typically suffer more serious adverse events from vaccines. However, we recently reported in a study of adolescents that males generate stronger antibody responses to the SARS-CoV-2 mRNA vaccine BNT162b2 than females. Here we examine the IFN-I response of pDCs in adolescents co-/vaccinated with BNT162b2 and live-attenuated influenza vaccine (LAIV). We find that male sex hormones reduce pDC IFN-I but are associated with increased BNT162b2 antibody titres. We also observe that LAIV boosts BNT162b2 antibody titres through possible bystander activation of immune cells. These findings are consistent with a reportedly higher incidence of adverse events among males associated with this vaccine. Together these data suggest that IFN-I production typically enhances vaccine-specific immune responses but for new mRNA vaccines such as BNT162b2, that are modified to reduce innate immunogenicity, localised dampening of the IFN-I response in vaccinated tissue by male sex hormones may further delay the clearance of the vaccine, increasing vaccine antigen exposure and allowing time for a stronger antibody response.

immunology↗

bioRxiv2021

In silico discovery of small molecules for efficient stem cell differentiation into definitive endoderm

Improving methods for human embryonic stem cell differentiation represents a challenge in modern regenerative medicine research. Using drug repurposing approaches, we discover small molecules that regulate the formation of definitive endoderm. Among them are inhibitors of known processes involved in endoderm differentiation (mTOR, PI3K, and JNK pathways) and a new compound, with an unknown mechanism of action, capable of inducing endoderm formation in the absence of growth factors in the media. Optimization of the classical protocol by including this compound achieves the same differentiation efficiency with a 90% cost reduction. The gene expression profile induced by the compound suggests that it is an inhibitor of the MYC pathway. The proposed in silico procedure for candidate molecule selection has broad potential for improving stem cell differentiation protocols.

bioinformatics↗

bioRxiv2021

Maladaptive cue-controlled cocaine-seeking habits promote increased relapse severity in rats.

The inflexible pursuit of drug-seeking and great tendency to relapse that characterize addiction has been associated with the recruitment of the dorsolateral striatum-dependent habit system. However, the mechanisms by which maladaptive drug-seeking habits influence subsequent relapse are obscure. Here, we show that rats with a long history of cocaine-seeking, controlled by drug-paired cues and mediated by the habit system, show highly exacerbated drug-seeking at relapse that is not mediated by cocaine withdrawal. This heightened tendency to relapse is underpinned by transient engagement of the dorsomedial striatum goal-directed system and reflects emergent negative urgency resulting from the prevention of enacting the seeking habit during abstinence. These results reveal a novel mechanism underlying the pressure to relapse and indicate a target for preventing it. One Sentence SummaryInstrumental deprivation triggers flexibility in the well-established cue-controlled cocaine-seeking behaviour.

neuroscience↗

bioRxiv2020

Curation of over 10,000 transcriptomic studies to enable data reuse

Vast amounts of transcriptomic data reside in public repositories, but effective reuse remains challenging. Issues include unstructured dataset metadata, inconsistent data processing and quality control, and inconsistent probe-gene mappings across microarray technologies. Thus, extensive curation and data reprocessing is necessary prior to any reuse. The Gemma bioinformatics system was created to help address these issues. Gemma consists of a database of curated transcriptomic datasets, analytical software, a web interface, and web services. Here we present an update on Gemmas holdings, data processing and analysis pipelines, our curation guidelines, and software features. As of June 2020, Gemma contains 10,811 manually curated datasets (primarily human, mouse, and rat), over 395,000 samples and hundreds of curated transcriptomic platforms (both microarray and RNA-sequencing). Dataset topics were represented with 10,215 distinct terms from 12 ontologies, for a total of 54,316 topic annotations (mean topics/dataset = 5.2). While Gemma has broad coverage of conditions and tissues, it captures a large majority of available brain-related datasets, accounting for 34% of its holdings. Users can access the curated data and differential expression analyses through the Gemma website, RESTful service, and an R package. Database URL: https://gemma.msl.ubc.ca/home.html

bioinformatics↗

bioRxiv2019

Evaluation of Connectivity Map shows limited reproducibility in drug repositioning

The Connectivity Map (CMap) is a popular resource designed for data-driven drug repositioning using a large transcriptomic compendium. However, evaluations of its performance are limited. We used two iterations of CMap (CMap 1 and 2) to assess their comparability and reliability. We queried CMap 2 with CMap 1-derived signatures, expecting CMap 2 would highly prioritize the queried compounds; success rate was 17%. Analysis of previously published prioritizations yielded similar results. Low recall is caused by low differential expression (DE) reproducibility both between CMaps and within each CMap. DE strength was predictive of reproducibility, and is influenced by compound concentration and cell-line responsiveness. Reproducibility of CMap 2 sample expression levels was also lower than expected. We attempted to identify the "better" CMap by comparison with a third dataset, but they were mutually discordant. Our findings have implications for CMap usage and we suggest steps for investigators to limit false positives.

bioinformatics↗